Seeds of regional structural change. The role of entrepreneurs and expanding firms in shaping local path dependencies

This article studies path dependent regional structural change using a quantitative framework. Based on an inter-relatedness indicator, the degree to which local skill-bases exist and force local economies onto a path-dependent development trajectory is studied. The main question is into which local industries new plants enter, while distinguishing between the plants of entrepreneurs and firms. Using a dataset on Swedish individuals and municipalities, it is found that entrepreneurs tend to reinforce established local industrial specializations, whereas new plants of already existing firms do less so. Moreover, outside actors deepen local economy's core specialization more than do local actors.structural change, economic geography, path dependence, entrepreneurship, skill-relatedness, human capital

Inter-industry linkages in local economies

We investigate the extent to which a local industry is affected by an overrepresentation of related industries in the local economy. We focus on two types of inter-industry relatedness, namely, the degree to which two industries can employ a similarly skilled labor force and the degree to which two industries are connected in the value chain. We decompose changes in the employment of a local industry into the employment generated or destroyed in incumbent plants and the employment changes due to plant entry and exit. Furthermore, we classify new plants by the type and geographical origins of the plants’ founders. We find that entrepreneurs have a stronger tendency than existing firms to set up plants in local industries that can draw on a strong local presence of labor market and value chain linked industries. The same holds for local founders compared to founders from outside the region. In the second part of the paper, we investigate the relative importance of the two relatedness types and whether the two types reinforce each other. We find that, in general, the growth of old plants and the employment generated in new plants is more strongly associated with the relatedness through the labor market. Moreover, for in new plant formation, the two relatedness types indeed tend to reinforce each other. In fact, local value chain linkages seem to be only important if client and supplier firms can also engage in labor sharing.

Revealed Relatedness: Mapping Industry Space

In this paper we measure technological relatedness between industries using a dataset on product portfolios of plants. For this purpose we first develop a general methodology to extract data on co-occurrences of classes (e.g. industries) in a single entity (e.g. a plant) to construct estimates of the relatedness between the classes. The core assumption, in line with the concept of economies of scope, is that if two products are produced in the same plant, this is an indication of relatedness between the industries the two products are a part of. Unlike earlier methods, we arrive at a Revealed Relatedness (RR) index that can be interpreted on a ratio scale, allows for the use of indirect (i.e. not directly observed) information on industry relatedness, and conceptualizes relatedness as being asymmetric or directed. Direction of relatedness provides information on, for example, the most likely direction of spillovers between two classes. We also graph the RR matrices using methods borrowed from social network analysis. The result is a visualization of the “industry space” and how that changes over time with structural transformation of the economy. In order to test the validity of the framework, the industry space is used to plot structural transformation paths of regions. It is shown that the RR matrix indeed has significant explanatory power for the composition and change of a regions portfolio of manufacturing industries, in spite of the fact that regional information played no role in its derivation. This confirms the quality of our RR estimates.technological relatedness, industry relations, industry space, revealed relatedness

A Flexible Network Approach to Privacy of Blockchain Transactions

For preserving privacy, blockchains can be equipped with dedicated mechanisms to anonymize participants. However, these mechanism often take only the abstraction layer of blockchains into account whereas observations of the underlying network traffic can reveal the originator of a transaction request. Previous solutions either provide topological privacy that can be broken by attackers controlling a large number of nodes, or offer strong and cryptographic privacy but are inefficient up to practical unusability. Further, there is no flexible way to trade privacy against efficiency to adjust to practical needs. We propose a novel approach that combines existing mechanisms to have quantifiable and adjustable cryptographic privacy which is further improved by augmented statistical measures that prevent frequent attacks with lower resources. This approach achieves flexibility for privacy and efficency requirements of different blockchain use cases.Comment: 6 pages, 2018 IEEE 38th International Conference on Distributed Computing Systems (ICDCS

How do regions diversify over time? Industry relatedness and the development of new growth paths in regions

The question of how new regional growth paths emerge has been raised by many leading economic geographers. From an evolutionary perspective, there are strong reasons to believe that regions are most likely to branch into industries that are technologically related to the preexisting industries in the region. Employing a new indicator of technological relatedness between manufacturing industries, we analyze the economic evolution of 70 Swedish regions during the period 1969-2002 using detailed plant-level data. Our analyses show that the long-term evolution of the economic landscape in Sweden is subject to strong path dependencies. Industries that were technologically related to pre-existing industries in a region had a higher probability to enter the region, as compared to unrelated industries. And unrelated industries had a higher probability to exit the region. Moreover, we found that industrial profiles of Swedish regions showed a high degree of technological coherence. Despite substantial structural change, this coherence was very persistent over time. Our methodology also proved useful when focusing on the economic evolution of one particular region. Our analysis showed that the Linkˆping region increased its industrial coherence during 30 years, due to the entry of industries that were closely related to its regional portfolio on the one hand, and the exit of industries that were technologically peripheral to its regional portfolio on the other hand. In sum, we find systematic evidence that the rise and fall of industries is strongly conditioned by industrial relatedness at the regional level.technological relatedness, related variety, regional branching, regional diversification

Surviving in agglomerations: Plant evolution and the changing benefits of the local environment

Cities vary with regard to the characteristics of their economic life. A formal model by Duranton and Puga (2001) suggests a division of labour between diversified and specialized cities. Diversified cities (the “nursery cities”) provide a fertile environment for search and innovation. Specialized cities, by contrast, are better equipped to facilitate mass-production. In essence, this spurs firms to re-locate as they mature from the exploratory set-up stage to mass-production. In this article, we empirically test the assumptions behind this model by means of survival analysis using Swedish plant level data of over 11 000 plants. More specifically, we investigate the effects of local specialization and local diversity on plant survival at different ages of a plant and for different size categories of plants. Not all types of local diversity will be of value to a plant. Rather, we expect plants to benefit especially from local diversity in related industries. In a similar vein, cities with a large concentration of a broad range of activities in related trades may confer larger benefits than cities with a narrow specialization in the plant’s own industry. To quantify the degree of relatedness between industries, we use a new measure, Revealed Relatedness. This serves to identify technological relatedness by measuring economies of scope as implied by the structure of production portfolios of plants. The findings suggest that regional characteristics strongly influence the chances of a plant to survive. In general, the hypothesized specialization effects are only found when we look at related specialization. Large plants at high stages of maturity form the only exception to this. However, diversity effects are only visible when we take all local diversity into account, not just diversity in related industries. Moreover, it is only young firms that benefit from regional diversity. This indicates that the “nursery city” metaphor holds as much for small, prototype plants as for large mass-production plants.agglomeration economies, revealed relatedness, industry relations, Sweden

Towards an Economic Analysis of Routing in Payment Channel Networks

Payment channel networks are supposed to overcome technical scalability limitations of blockchain infrastructure by employing a special overlay network with fast payment confirmation and only sporadic settlement of netted transactions on the blockchain. However, they introduce economic routing constraints that limit decentralized scalability and are currently not well understood. In this paper, we model the economic incentives for participants in payment channel networks. We provide the first formal model of payment channel economics and analyze how the cheapest path can be found. Additionally, our simulation assesses the long-term evolution of a payment channel network. We find that even for small routing fees, sometimes it is cheaper to settle the transaction directly on the blockchain.Comment: 6 pages, 3 figures, SERIAL '17 Worksho

EVALUATION OF SOIL-STRUCTURE INTERACTION MODELS USING DIFFERENT MODEL-ROBUSTNESS APPROACHES

The aim of this study is to show an application of model robustness measures for soilstructure interaction (henceforth written as SSI) models. Model robustness defines a measure for the ability of a model to provide useful model answers for input parameters which typically have a wide range in geotechnical engineering. The calculation of SSI is a major problem in geotechnical engineering. Several different models exist for the estimation of SSI. These can be separated into analytical, semi-analytical and numerical methods. This paper focuses on the numerical models of SSI specific macro-element type models and more advanced finite element method models using contact description as continuum or interface elements. A brief description of the models used is given in the paper. Following this description, the applied SSI problem is introduced. The observed event is a static loaded shallow foundation with an inclined load. The different partial models to consider the SSI effects are assessed using different robustness measures during numerical application. The paper shows the investigation of the capability to use these measures for the assessment of the model quality of SSI partial models. A variance based robustness and a mathematical robustness approaches are applied. These different robustness measures are used in a framework which allows also the investigation of computational time consuming models. Finally the result shows that the concept of using robustness approaches combined with other model–quality indicators (e.g. model sensitivity or model reliability) can lead to unique model–quality assessment for SSI models